Application of Improved U-Net Convolutional Neural Network for Automatic Quantification of the Foveal Avascular Zone in Diabetic Macular Ischemia

OBJECTIVES: The foveal avascular zone (FAZ) is a biomarker for quantifying diabetic macular ischemia (DMI), to automate the identification and quantification of the FAZ in DMI, using an improved U-Net convolutional neural network (CNN) and to establish a CNN model based on optical coherence tomograp...

Descripción completa

Detalles Bibliográficos
Autores principales: Meng, Yongan, Lan, Hailei, Hu, Yuqian, Chen, Zailiang, Ouyang, Pingbo, Luo, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898103/
https://www.ncbi.nlm.nih.gov/pubmed/35257013
http://dx.doi.org/10.1155/2022/4612554

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8898103/
https://www.ncbi.nlm.nih.gov/pubmed/35257013
http://dx.doi.org/10.1155/2022/4612554

Ejemplares similares